Diagnosis Risk Stratification
Cross-source consensus on Diagnosis Risk Stratification from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Comparisons
Where it comes from
Highlighted claims
- A total of 12,145 ICD-10-AM codes appeared as principal diagnoses in the study population. — Promising solution for standardised length of hospital stay based on time-to-event models and contemporary Australian administrative data
- Clinical Diagnosis Groups were ranked using a mixed-effects parametric survival model based on risk of prolonged LOS. — Promising solution for standardised length of hospital stay based on time-to-event models and contemporary Australian administrative data
- The study mapped principal diagnosis codes to Clinical Diagnosis Groups to reduce complexity while preserving clinical meaning. — Promising solution for standardised length of hospital stay based on time-to-event models and contemporary Australian administrative data
- Higher hazard ratios correspond to faster discharge and shorter predicted LOS. — Promising solution for standardised length of hospital stay based on time-to-event models and contemporary Australian administrative data